Artificial intelligence and machine learning empower advanced biomedical material design to toxicity prediction

AV Singh, D Rosenkranz, MHD Ansari… - Advanced Intelligent …, 2020 - Wiley Online Library
Materials at the nanoscale exhibit specific physicochemical interactions with their
environment. Therefore, evaluating their toxic potential is a primary requirement for …

[PDF][PDF] Regulating a SWiFT transition: a Bayesian network as weight-of-evidence approach to replace the AFT with the FET

R Wolf, S Belanger, T Braunbeck, K Connors, M Embry… - swift.hugin.com
In 2006, the fish embryo toxicity (FET) test was submitted as a new proposed OECD test
guideline. The draft proposal explicitly stated that the FET constitutes an alternative to acute …